Vai al contenuto
AI.info

tools

LlamaIndex Review 2026 — Best Open-Source RAG Framework

LlamaIndex è un framework open source per creare agenti di IA e applicazioni che usano dati privati, recupero delle informazioni, workflow ed elaborazione dei documenti.

LlamaIndex Review 2026 — Best Open-Source RAG Framework

In inglese

LlamaIndex gives developers Python and TypeScript SDKs, connectors, indexing, retrieval, memory, state management, human-in-the-loop components, and agent-building tools. It supports conversational applications, RAG systems, structured extraction, and multi-step workflows.

The core framework is open source and free to use. LlamaParse and related hosted document-processing services are separate paid products with credit-based pricing; enterprise features and higher usage cost extra.

Features

  • Python and TypeScript SDKs for building context-aware AI agents
  • Connectors for APIs, PDFs, documents, SQL, and other data sources
  • Indexing and retrieval components for RAG applications
  • Agent building blocks including memory, state, and human-in-the-loop
  • Workflow support for controlled multi-step and multi-agent applications
  • Structured data extraction from unstructured documents
  • Open-source framework under the MIT License

Use cases

  • Build conversational applications over private or enterprise data
  • Create customer-support agents with retrieval over internal documents
  • Automate document-heavy processes with agents and workflows
  • Develop RAG pipelines over PDFs, databases, and business systems
  • Extract structured fields from unstructured documents
  • Prototype and deploy multi-agent applications

Pros

    Cons

      Latest updates

      • v0.14.25 (v0.14.25)
      • v0.14.24 (v0.14.24)

        Fixed issues with CodeSplitter, chat history, HTMLNodeParser, MMR search, ingestion upserts, tool parameters, filters, and AgentWorkflow output.

      • v0.14.21 (v0.14.21)

        Fixed core issues in node deletion, structured output failures, persistence encoding, and message block buffer resolution.

      • v0.14.20 (v0.14.20)
      • v0.14.19 (v0.14.19)

      Capabilities

      • Self-hosted — “For enterprises, we also offer deployment in private VPCs across all cloud providers, ensuring data never leaves your tenant.” source
      • API — “Webhooks & API callbacks” source
      • Builds agents and workflows — “Build and deploy end-to-end document agents” source
      • Search over your data — “Built to deliver precision and relevance in every retrieval call for best-in-class RAG.” source

      Get it

      Security

      • SOC 2 Type II — “SOC 2 Type II Report (2025)” source
      • SOC 2 — “SOC 2 Type II Report (2025)” source

      Pricing

      Starting price
      $500/mo
      Prices checked
      2026-11-09

      Pay-as-you-go

      • $0 /month
      • $1.5 per 1k credits
      • Includes 10K free credits
      • 100 users
      • Basic support
      • 5 concurrent parse jobs
      • 5 concurrent extract jobs
      • 1 project

      Pro

      • $500 /month
      • $1.25 per 1k credits
      • 400K included credits
      • 20 concurrent parse jobs
      • 20 concurrent extract jobs
      • 100 users
      • 5 projects
      • Priority Slack support

      Enterprise

      Price on request

      • Volume discount on credits
      • 5x higher rate limits
      • Enterprise SSO
      • SaaS or Hybrid cloud deployment
      • Dedicated account manager
      • Dedicated support
      Official website